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Newsletter May 2015

Build outlier removal into your classifiers.

Tutorial

real-world example on protecting classifier from outliers

Outlier removal is an important initial step for almost any machine learning project. In this real-world example, we show how to clean our data set and how to include outlier removal into the final classifier.
Watch this video to find out more.

perClass at Vision and Robotics fair 2015, stand 46v

Vision & Robotics 2015

Exhibitions

Visit our stand at the Vision & Robotics & Mechatronics Fair taking place 3-4 June 2015 in Veldhoven, NL. Are you interested in hyperspectral imaging for agro & food? This year this will be the focus of a special workshop on June 3. We will provide some thoughts for discussion with a short talk on why machine learning is the key innovation in agro & food today. Join us and share your ideas!
Check out the program.

speed up execution of classifiers out of Matlab

Speeding up classifier execution

Feature highlight

Algorithms leveraging PCA/LDA dimensionality reduction or neural networks may be significantly sped up in execution by joining pipeline steps. In this knowledge-base article, we show an example on a hyper-spectral classification task.

Read more



10th anniversary of yesDelft incubator

From the blog

yesDelft startup incubator celebrates 10th anniversary!

perClass team participated in the special event celebrating 10 yeas of the yesDelft incubator. The event was attended by a number of high-level executives and governmental figures. Notably, Mark Rutte, Dutch prime minister and Neelie Kroes, special envoy for startups were present...
Read more in the blog.

training course on industrial machine learning

Autumn perClass course: 16-20 November 2015

Announcement

Interested in a great machine learning course?
Mark your calendar: The Autumn perClass course has been scheduled on 16-20 November 2015 in Delft, NL. Join us and bring your own data to push ahead your solutions! Read testimonials

Learn more about the industrial pattern recognition course register now to the machine learning course for industry


Difficult to leave your office for a week? Request an in-house course.